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Artificial Intelligence - Principles and Techniques, 6 credits
Artificiell intelligens - principer och tekniker, 6 hp
TNM096
Main field of study
Media Technology and EngineeringCourse level
First cycleCourse type
Programme courseExaminer
Pierangelo Dell’AcquaDirector of studies or equivalent
Camilla ForsellEducation components
Preliminary scheduled hours: 34 hRecommended self-study hours: 126 h
Available for exchange students
YesECV = Elective / Compulsory / Voluntary
| Course offered for | Semester | Period | Timetable module | Language | Campus | ECV | |
|---|---|---|---|---|---|---|---|
| 6MDAV | Computer Science, Master's programme | 2 (Spring 2017) | 2 | 1 | English | Norrköping, Norrköping | E |
| 6MICS | Computer Science, Master's programme | 2 (Spring 2017) | 2 | 1 | English | Norrköping, Norrköping | E |
| 6CMEN | Media Technology and Engineering, M Sc in Engineering | 8 (Spring 2017) | 2 | 1 | English | Norrköping, Norrköping | E |
Main field of study
Media Technology and EngineeringCourse level
First cycleAdvancement level
G2XCourse offered for
- Media Technology and Engineering, M Sc in Engineering
- Computer Science, Master's programme
Entry requirements
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.
Prerequisites
Programming in imperative programming language (like Java or C++). Knowledge of data structures and algorithms.Intended learning outcomes
The aim of the course is to introduce the main concepts of artificial intelligence (AI) including techniques for problem solving, knowledge representation and reasoning, and learning. After the course the student will be able to
- explain and discuss artificial intelligence concepts
- apply well known artificial intelligence techniques.
Course content
Search as a problem-solving method. Knowledge representation and reasoning. Reasoning with incomplete information and probabilistic reasoning. Planning. Machine learning.
Teaching and working methods
The course consists of a series of lectures and laboratory work where different AI techniques are implemented using Java or C++.
Examination
| LAB1 | Laboratory work | 6 credits | U, 3, 4, 5 |
Grades
Four-grade scale, LiU, U, 3, 4, 5Other information
| Supplementary courses: Artificial Intelligence for Interactive Media |
Department
Institutionen för teknik och naturvetenskapDirector of Studies or equivalent
Camilla ForsellExaminer
Pierangelo Dell’AcquaEducation components
Preliminary scheduled hours: 34 hRecommended self-study hours: 126 h
Course literature
Utdelat kursmaterial| Code | Name | Scope | Grading scale |
|---|---|---|---|
| LAB1 | Laboratory work | 6 credits | U, 3, 4, 5 |
Regulations (apply to LiU in its entirety)
The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.
LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.
Course literature is preliminary.
Utdelat kursmaterial
Note: The course matrix might contain more information in Swedish.
I = Introduce, U = Teach, A = Utilize
| I | U | A | Modules | Comment | ||
|---|---|---|---|---|---|---|
| 1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
| 1.1 Knowledge of underlying mathematics and science (G1X level) |
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X
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| 1.2 Fundamental engineering knowledge (G1X level) |
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X
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LAB1
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| 1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
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X
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LAB1
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| 1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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| 1.5 Insight into current research and development work |
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| 2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
| 2.1 Analytical reasoning and problem solving |
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X
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| 2.2 Experimentation, investigation, and knowledge discovery |
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X
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LAB1
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| 2.3 System thinking |
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X
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LAB1
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| 2.4 Attitudes, thought, and learning |
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| 2.5 Ethics, equity, and other responsibilities |
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
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X
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LAB1
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| 3.2 Communications |
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X
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LAB1
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| 3.3 Communication in foreign languages |
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| 4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
| 4.1 External, societal, and environmental context |
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| 4.2 Enterprise and business context |
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| 4.3 Conceiving, system engineering and management |
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| 4.4 Designing |
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| 4.5 Implementing |
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| 4.6 Operating |
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| 5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS | ||||||
| 5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development |
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| 5.2 Economic conditions for knowledge development |
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| 5.3 Identification of needs, structuring and planning of research or development projects |
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| 5.4 Execution of research or development projects |
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| 5.5 Presentation and evaluation of research or development projects |
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